Internship – Product Engineering (Data Science: Machine Learning Analyst)

**The future starts here! Ready to join NXP** **?** Become part of a dynamic Product Engineering team that is working on products driving One of the mega trends in the evolution towards highly automated vehicles. NXP offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Product line In\-Vehicle Networking is with CAN, LIN, Flexray and Ethernet solutions, enabling communications within architectures designed for secure and hyper\-connected autonomous vehicles. **Your Team** The Product Engineering – You will be part of our product development team , Product Line, In\-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorously to deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost. As a Product Engineer ing intern , you are in a central position (a spider in the web) in the New IC Product development . You get to work with all the disciplines needed to design an IC and several external teams to prepare it for mass production . There is a lot of room for new ideas and innovations and you will be supported to have a continuous focus on development, coaching and creating a supportive environment from your team. **Your Responsibilities** * Develop and evaluate an anomaly detection approach for machine learning models to determine whether incoming data and model predictions are reliable before further processing. * Analyze large\-scale datasets to identify out\-of\-distribution behavior , data shifts, and inconsistencies between inputs and model outputs. * Design and calibrate an anomaly scoring mechanism and decision thresholds, balancing detection sensitivity with practical review capacity in a production environment. * Validate the solution using historical data, including simulation or injection of anomalous scenarios where required . * Collaborate with cross\-functional teams (e.